José María Tagarro Martí's starred repositories
Microsoft-Activation-Scripts
A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
Learning-to-See-in-the-Dark
Learning to See in the Dark. CVPR 2018
tplink-smartplug
TP-Link WiFi SmartPlug Client and Wireshark Dissector
MHI-AC-Ctrl
Reads and writes data (e.g. power, mode, fan status etc.) from/to a Mitsubishi Heavy Industries (MHI) air conditioner (AC) via SPI controlled by MQTT
jira-changelog
Generates a changelog by matching git commits to Jira tickets.
group-recommender-systems
This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation
abstention
Algorithms for abstention, calibration and domain adaptation to label shift.
FPGrowth-and-Apriori-algorithm-Association-Rule-Data-Mining
Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.
Mignon_BLE
ESP32 Powered Eureka Mignon Grinder with Android App
DSCSI-GAN
Implementation of Paper 'Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning on histopathology images'. And this repo also contains the reimplementation of paper 'Neural Stain-Style Transfer Learning using GAN for Histopathological Images'.
foodPriceScraper
Extract prices for several foods of MINAGRI webpage
WSI-ProGAN
A modified version of ProGAN which trains using whole slide images (WSIs). Patches are extracted from WSIs at training time removing the need for WSI chopping.
ezshare_cpap
Mac OSX script to pull CPAP Data from an Airsense 10 to a local machine for upload to SleepHQ
MHI-RC-to-MQTT
Mitsubishi Heavy Industies, Modbus to MQTT
Group-Recommender-System
Group Recommender System
DensityRatioEstimation
A Python library of Density Ratio Estimation (Sugiyama)
adjust_dist_xy
Experiments of the paper "An analysis of quantification methods based on matching distributions"
em-prior-adjust
Implementation of the method presented "Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure" by Saerens et al, 2002.